Statistics

Adaptive identification and control of nonlinear systems using generalized fuzzy neural network.

Author

Gao, Yang.

Date of Issue

2003

School

School of Electrical and Electronic Engineering

Abstract

This thesis proposes a superior adaptive fuzzy neural network identification and control scheme for MIMO nonlinear dynamic systems in general, with a view of dealing with high complexity, uncertainties and imprecision in this class of systems. In literature, fuzzy logic and neural networks have been greatly adopted in modeling and control.

Subject

DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation